{"type":"ScholarlyArticle","title":"Heuristics for Inductive Learning","authors":[{"name":"Steven Salzberg","slug":"steven-salzberg","given":"Steven","family":"Salzberg","affiliation":""}],"abstract":"A number of heuristics have been developed which greatly reduce the search space a learning program must consider in its attempt to construct hypotheses about why a failure occurred. These heuristics have been implemented in the HANDICAPPER system [Salzberg 1983, Atk inson & Salzberg 1984], in which they si gnif icantly improved predicti ve ability while demonstrating a remarkable learning curve. The rationalization process has been developed as a verification system for the hypotheses suggested by the heuristics. Rationalization uses the causal knowledge of the system to ascertain whether or not a hypothesis is reasonable . If the hypothesis is not supported by causal knowledge, it is discarded and another hypothesis must be generated by the heuristics. The resulting learning system , by integrating causal knowledge with heuristic search, has quickly gone from essentially random predictive accuracy to a system which consistently outperforms the experts at predicting events in its problem domain .","doi":null,"url":"https://ijcai.org/proceedings/1985/116","pdf":"https://ijcai.org/proceedings/1985/0116.pdf","markdown":"https://ijcai.org/proceedings/1985/116.md","bibtex":"https://ijcai.org/proceedings/1985/bibtex/116","volume":{"slug":"1985","title":"Proceedings of the Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1985","url":"https://ijcai.org/proceedings/1985/","year":1985,"location":"Los Angeles, California, USA","dates":"","editors":"Aravind Joshi","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Learning and Acquisition","track":"Learning and Acquisition","number":116,"pages":{"first":603,"last":608},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}